Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...

Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...

This research paper presents a proactive approach to congestion control in IoT networks using an encoder–decoder LSTM (ED-LSTM) model to predict packet loss ratios ahead of time. By forecasting ...

Introduction: With the recent breakthroughs in driving automation and the development of smart vehicles, human-technology interaction issues, such as detecting comfort levels in automated driving, ...

Abstract: With the development of vehicular network technology, the prediction of vehicle power demand has become significant in intelligent transportation systems and energy consumption optimization.

College of Electromechanical Engineering, Anyang Vocational and Technical College, Anyang, China Introduction: Fault diagnosis analysis of mechanical equipment is greatly significant for maintaining ...

The future of AI is on the edge. The tiny Mu model is how Microsoft is building its new Windows agents. If you’re running on the bleeding edge of Windows, using the Windows Insider program to install ...

Microsoft is laying the groundwork for Windows 11 to morph into a genAI-driven OS. The company on Monday announced a critical AI technology that will make it possible to run generative AI (genAI) ...

Whether it's tools for your garden or for cleaning your home, there's probably something in the DeWalt portfolio with your name on it. Apart from having a slew of tools made in the USA, it also offers ...